BMC Medical Informatics and Decision Making

Papers
(The TQCC of BMC Medical Informatics and Decision Making is 8. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-08-01 to 2025-08-01.)
ArticleCitations
The development and phase 1 evaluation of a Decision Aid for elective egg freezing304
Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application288
Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection228
Patients’ views of shared decision making in inflammatory bowel disease: a survey in China171
Providing evidence-based knowledge on nursing interventions at the point of care: findings from a mapping project169
Improving computerized decision support system interventions: a qualitative study combining the theoretical domains framework with the GUIDES Checklist134
Patients’ and plastic surgeons’ experiences with an online patient decision aid for breast reconstruction: considerations for nationwide implementation130
Analytical validation of Exandra: a clinical decision support system for promoting guideline-directed therapy of type-2 diabetes in primary care – a collaborative study with experts from Diabetes Cana110
Deep learning-based classification of dementia using image representation of subcortical signals103
Insights into prescribing patterns for antidepressants: an evidence-based analysis96
Learning from low-rank multimodal representations for predicting disease-drug associations93
Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms89
Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis83
A retrospective analysis using comorbidity detecting algorithmic software to determine the incidence of International Classification of Diseases (ICD) code omissions and appropriateness of Diagnosis-R75
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures71
Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach71
Lactate dehydrogenase to albumin ratio and poor prognosis after thrombolysis in ischemic stroke patients: developing a novel nomogram70
SEM model analysis of diabetic patients’ acceptance of artificial intelligence for diabetic retinopathy69
Construction and SHAP interpretability analysis of a risk prediction model for feeding intolerance in preterm newborns based on machine learning69
Building a trustworthy AI differential diagnosis application for Crohn’s disease and intestinal tuberculosis67
Evaluation of an ARF diagnosis calculator: a survey and content analysis61
An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis59
Value of normative belief in intention to use workplace health promotion apps55
From algorithms to action: improving patient care requires causality54
Validation of a computerized decision support system to review pharmacotherapy treatment: scheduling guidelines53
Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models52
AMPDECIDE amputation level patient decision aids: a feasibility study52
Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning52
In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim48
Early prediction of mortality upon intensive care unit admission47
Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks46
Data-driven decision making in patient management: a systematic review46
A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis45
Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers45
Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records44
Real-time non-invasive hemoglobin prediction using deep learning-enabled smartphone imaging44
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning43
Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering41
Mean generation function model in AIDS epidemic estimation40
Interoperability of heterogeneous health information systems: a systematic literature review40
Participant characteristics and reasons for non-consent to health information linkage for research: experiences from the ATHENA COVID-19 study40
Predicting perinatal mortality based on maternal health status and health insurance service using homogeneous ensemble machine learning methods39
Using the technology acceptance model to assess clinician perceptions and experiences with a rheumatoid arthritis outcomes dashboard: qualitative study39
The protocol of DECO-MOM: a clinical trial testing the effectiveness of a mobile application for an environmental health intervention among pregnant women36
Development and validation of an instrument to evaluate the perspective of using the electronic health record in a hospital setting35
Development and usability evaluation of a mHealth application for albinism self-management35
Only the anxious ones? Identifying characteristics of symptom checker app users: a cross-sectional survey35
Automated machine learning for early prediction of systemic inflammatory response syndrome in acute pancreatitis35
Deep learning-driven modality imputation and subregion segmentation to enhance high-grade glioma grading35
Principles of digital professionalism for the metaverse in healthcare35
Can we ever have evidence-based decision making in orthopaedics? A qualitative evidence synthesis and conceptual framework34
The impact of a patient decision aid for patients with advanced laryngeal carcinoma – a multicenter study34
Predicting blood transfusion demand in intensive care patients after surgery by comparative analysis of temporally extended data selection34
Correction: Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic33
Correction to: Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary33
Analysis and knowledge extraction of newborn resuscitation activities from annotation files33
Effects of a smartphone application named “Shared Decision Making Assistant” for informed patients with primary liver cancer in decision-making in China: a quasi-experimental study32
The Infomóvel—An information system for managing HIV/AIDS patients in rural areas of Mozambique32
Validation of the German eHealth impact questionnaire for online health information users affected by multiple sclerosis32
PheNominal: an EHR-integrated web application for structured deep phenotyping at the point of care32
Application of artificial intelligence medical imaging aided diagnosis system in the diagnosis of pulmonary nodules31
Differences in changes of data completeness after the implementation of an electronic medical record in three surgical departments of a German hospital–a longitudinal comparative document analysis31
Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks30
Machine learning approach for the detection of vitamin D level: a comparative study30
Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods30
Predicting miRNA-disease associations via layer attention graph convolutional network model30
Modified multiscale Renyi distribution entropy for short-term heart rate variability analysis30
Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records30
The most used questionnaires for evaluating satisfaction, usability, acceptance, and quality outcomes of mobile health30
Identifying and evaluating clinical subtypes of Alzheimer’s disease in care electronic health records using unsupervised machine learning29
A qualitative analysis of algorithm-based decision support usability testing for symptom management across the trajectory of cancer care: one size does not fit all29
Conceptual design of a generic data harmonization process for OMOP common data model29
Deep learning model for multi-classification of infectious diseases from unstructured electronic medical records28
MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model27
Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China27
Machine learning for the prediction of sepsis-related death: a systematic review and meta-analysis27
Retrospective descriptive assessment of clinical decision support medication-related alerts in two Saudi Arabian hospitals27
Cardiovascular disease incidence prediction by machine learning and statistical techniques: a 16-year cohort study from eastern Mediterranean region27
Interpretable machine-learning model for Predicting the Convalescent COVID-19 patients with pulmonary diffusing capacity impairment26
A novel smartphone application for the tracking of procedural numbers and trainee experience in gastrointestinal endoscopy26
Machine learning-based models for the prediction of breast cancer recurrence risk26
Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic25
Adolescent, parent, and provider attitudes toward a machine learning based clinical decision support system for selecting treatment for youth depression25
Exploring parental factors influencing low birth weight on the 2022 CDC natality dataset25
De-identified Bayesian personal identity matching for privacy-preserving record linkage despite errors: development and validation24
YouTube as a source of information during the Covid-19 pandemic: a content analysis of YouTube videos published during January to March 202024
A systematic comparison of short-term and long-term mortality prediction in acute myocardial infarction using machine learning models24
The social experience of uncertainty: a qualitative analysis of emergency department care for suspected pneumonia for the design of decision support23
The effect of capacity building evidence-based medicine training on its implementation among healthcare professionals in Southwest Ethiopia: a controlled quasi-experimental outcome evaluation23
Predicting atrial fibrillation episodes with rapid ventricular rates associated with low levels of activity23
Extracting the latent needs of dementia patients and caregivers from transcribed interviews in japanese: an initial assessment of the availability of morpheme selection as input data with Z-scores in 23
Identification of confounders and estimating the causal effect of place of birth on age-specific childhood vaccination23
Bayesian learning-based agent negotiation model to support doctor-patient shared decision making23
Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods23
Data privacy-aware machine learning approach in pancreatic cancer diagnosis23
Prognosis patients with COVID-19 using deep learning23
Harnessing computational tools of the digital era for enhanced infection control23
Kernel principal components based cascade forest towards disease identification with human microbiota22
Prediction of amyloid PET positivity via machine learning algorithms trained with EDTA-based blood amyloid-β oligomerization data22
Communicating the results of risk-based breast cancer screening through visualizations of risk: a participatory design approach22
Understanding cancer patient cohorts in virtual reality environment for better clinical decisions: a usability study22
Automatic RadLex coding of Chinese structured radiology reports based on text similarity ensemble22
Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes22
Effect of short message service reminders in improving optimal antenatal care, skilled birth attendance and postnatal care in low-and middle-income countries: a systematic review and meta-analysis22
Drug closed-loop management system using mobile technology22
Machine learning algorithms for predicting low birth weight in Ethiopia22
A risk prediction model based on machine learning algorithm for parastomal hernia after permanent colostomy22
Accompanying the prostate cancer patient pathway: evaluation of novel clinical decision support software in patients with early diagnosis of prostate cancer21
Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: a systematic review21
Requirements and challenges of hospital dashboards: a systematic literature review21
Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis21
Development of a machine learning-based acuity score prediction model for virtual care settings21
The perceived importance of prognostic aspects considered by physicians during work disability evaluation: a survey21
A novel explainable machine learning-based healthy ageing scale21
Development and user testing of a patient decision aid for cancer patients considering treatment for anxiety or depression21
Exploring the potential of ChatGPT in medical dialogue summarization: a study on consistency with human preferences21
Healthcare dashboard technologies and data visualization for lipid management: A scoping review21
A nomogram for predicting sepsis-associated delirium: a retrospective study in MIMIC III20
Usability evaluation of electronic health records at the trauma and emergency directorates at the Komfo Anokye teaching hospital in the Ashanti region of Ghana20
Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit20
Machine learning based model for the early detection of Gestational Diabetes Mellitus20
Use of diagnostic likelihood ratio of outcome to evaluate misclassification bias in the planning of database studies20
ICD-11: an international classification of diseases for the twenty-first century20
Chinese medical entity recognition based on the dual-branch TENER model20
2.5D MFFAU-Net: a convolutional neural network for kidney segmentation20
Development and perceived usability evaluation of an interactive smartphone application for the teaching of hemodynamics and evaluation of arterial pulse pressure variation20
Applying nonlinear measures to the brain rhythms: an effective method for epilepsy diagnosis20
Creating a data warehouse to support monitoring of NSQHS blood management standard from EMR data20
Factors affecting the survival of prediabetic patients: comparison of Cox proportional hazards model and random survival forest method20
CardioGraph: a platform to study variations associated with familiar cardiopathies20
Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia20
The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis20
Adapted time-varying covariates Cox model for predicting future cirrhosis development performs well in a large hepatitis C cohort20
A pseudonymized corpus of occupational health narratives for clinical entity recognition in Spanish19
Correction: Weight management personas of breast cancer patients undergoing chemotherapy in China: a multi-method study19
A national platform for advancing self-care processes for the most common illnesses and conditions: designing, evaluating, and implementing19
Designing and evaluating a mobile app to assist patients undergoing coronary angiography and assessing its impact on anxiety, stress levels, and self-care19
Evaluating breast cancer websites targeting Arabic speakers: empirical investigation of popularity, availability, accessibility, readability, and quality19
Modeling-based design of adaptive control strategy for the effective preparation of ‘Disease X’19
Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy19
Mining comorbidities of opioid use disorder from FDA adverse event reporting system and patient electronic health records18
Haematology dimension reduction, a large scale application to regular care haematology data18
The willingness to continue using wearable devices among the elderly: SEM and FsQCA analysis18
Systematic review and meta-analysis of workload among medical records coders in China18
Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis18
Prevention and control of urinary tract stones using a smartphone-based self-care application: design and evaluation18
Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea18
Quantifying the impact of addressing data challenges in prediction of length of stay18
An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records18
Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for them18
A mental models approach for defining explainable artificial intelligence18
Risk factors and nomogram model for short-term postoperative complications in patients with hirschsprung disease18
ECG signal classification based on deep CNN and BiLSTM18
Machine learning algorithms’ accuracy in predicting kidney disease progression: a systematic review and meta-analysis17
Factors influencing online orthopedic doctor–patient consultations17
Precision cancer medicine and the doctor-patient relationship: a systematic review and narrative synthesis17
Intelligent virtual case learning system based on real medical records and natural language processing17
Optimising ePrescribing in hospitals through the interoperability of systems and processes: a qualitative study in the UK, US, Norway and the Netherlands17
Context factors in clinical decision-making: a scoping review17
The association between video or telephone telemedicine visit type and orders in primary care17
Development, comparison, and internal validation of prediction models to determine the visual prognosis of patients with open globe injuries using machine learning approaches17
Predictive value of machine learning for the progression of gestational diabetes mellitus to type 2 diabetes: a systematic review and meta-analysis17
Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening17
Ensemble learning for the early prediction of neonatal jaundice with genetic features17
Identifying drug-related attributes to personalise antihypertensive agents: the outcome report of patients receiving metoprolol therapy16
Patient values in patient-provider communication about participation in early phase clinical cancer trials: a qualitative analysis before and after implementation of an online value clarification tool16
Trusted sources of information on COVID-19 vaccine in Uganda16
Correction: Diagnosis of cardiac abnormalities based on phonocardiogram using a novel fuzzy matching feature extraction method16
Development and evaluation of regression tree models for predicting in-hospital mortality of a national registry of COVID-19 patients over six pandemic surges16
Application of machine learning techniques for predicting survival in ovarian cancer16
An evaluation of GPT models for phenotype concept recognition16
The coming Omicron waves and factors affecting its spread after China reopening borders16
An interactive dashboard for analyzing user interaction patterns in the i2b2 clinical data warehouse16
Descriptive forest: experiments on a novel tree-structure-generalization method for describing cardiovascular diseases16
Participatory methods in a digital setting: experiences from the co-creation of an eHealth tool for people with chronic obstructive pulmonary disease16
Implementation of digital remote postoperative monitoring in routine practice: a qualitative study of barriers and facilitators16
Exploring the role of Artificial Intelligence in Acute Kidney Injury management: a comprehensive review and future research agenda16
The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review16
Predicting angiographic coronary artery disease using machine learning and high-frequency QRS16
The development of a decision aid to support Hodgkin lymphoma survivors considering lung cancer screening16
%diag_test: a generic SAS macro for evaluating diagnostic accuracy measures for multiple diagnostic tests16
A novel EEG-based major depressive disorder detection framework with two-stage feature selection16
A machine learning classifier approach for identifying the determinants of under-five child undernutrition in Ethiopian administrative zones16
Document-level medical relation extraction via edge-oriented graph neural network based on document structure and external knowledge15
Optimization of vision transformer-based detection of lung diseases from chest X-ray images15
A SuperLearner approach for predicting diabetic kidney disease upon the initial diagnosis of T2DM in hospital15
Automated extraction of information of lung cancer staging from unstructured reports of PET-CT interpretation: natural language processing with deep-learning15
Fuzzy constraint-based agent negotiation framework for doctor-patient shared decision-making15
Evaluating the usability of Iran’s national comprehensive health information system: a think-aloud study to uncover usability problems in the recording of childcare data15
Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood15
Automatic data extraction to support meta-analysis statistical analysis: a case study on breast cancer15
Development of a quantitative index system for evaluating the quality of electronic medical records in disease risk intelligent prediction15
Multimodal deep learning-based diagnostic model for BPPV15
Data quality and associated factors in the health management information system at health centers in Shashogo district, Hadiya zone, southern Ethiopia, 202115
Comparing the performance of machine learning and conventional models for predicting atherosclerotic cardiovascular disease in a general Chinese population15
Towards a prescribing monitoring system for medication safety evaluation within electronic health records: a scoping review15
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study15
Enriching limited information on rare diseases from heterogeneous networks for drug repositioning15
Community perspectives on the use of electronic health data to support reflective practice by health professionals15
Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals14
Prediction of unplanned 30-day readmission for ICU patients with heart failure14
A machine learning approach to determine the risk factors for fall in multiple sclerosis14
Overall performance of a drug–drug interaction clinical decision support system: quantitative evaluation and end-user survey14
Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: a deep learning framework14
Continuous prediction for tumor mutation burden based on transcriptional data in gastrointestinal cancers14
Towards interpretable sleep stage classification with a multi-stream fusion network14
Influencing mechanism of the use behavior of clinical practice guidelines on antimicrobials: evidence from the integration of theory of reasoned action and organizational readiness for change14
Research, development, and evaluation of the practical effect of a storage inflow and outflow management system for consumables in the endocrinology department of a hospital14
Health information systems in developing countries: case of African countries14
Optimizing emergency department efficiency: a comparative analysis of process mining and simulation models to mitigate overcrowding and waiting times14
Intelligent identification system of gastric stromal tumors based on blood biopsy indicators14
TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines14
How successful is the CatBoost classifier in diagnosing different dental anomalies in patients via sella turcica and vertebral morphologic alteration?14
Analyzing the medical record homepages quality in a Chinese EMR system14
Use of multidimensional item response theory methods for dementia prevalence prediction: an example using the Health and Retirement Survey and the Aging, Demographics, and Memory Study14
Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory14
Prediction of central venous catheter-associated deep venous thrombosis in pediatric critical care settings14
An informatics consult approach for generating clinical evidence for treatment decisions14
Nonlinear association between visceral fat metabolism score and heart failure: insights from LightGBM modeling and SHAP-Driven feature interpretation in NHANES13
Empowering personalized oncology: evolution of digital support and visualization tools for molecular tumor boards13
Medical-informed machine learning: integrating prior knowledge into medical decision systems13
Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings13
The prediction of distant metastasis risk for male breast cancer patients based on an interpretable machine learning model13
Enhancing post-traumatic stress disorder patient assessment: leveraging natural language processing for research of domain criteria identification using electronic medical records13
Factors associated with the local control of brain metastases: a systematic search and machine learning application13
Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal13
Automatic segmentation of 15 critical anatomical labels and measurements of cardiac axis and cardiothoracic ratio in fetal four chambers using nnU-NetV213
Using provocative design to foster electronic informed consent innovation13
Explainable prediction of daily hospitalizations for cerebrovascular disease using stacked ensemble learning13
Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment13
A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure13
Development and external validation of machine learning models for the early prediction of malnutrition in critically ill patients: a prospective observational study13
Design and evaluation of a mobile-based nutrition education application for infertile women in Iran13
Utilization of patient portals: a cross-sectional study investigating associations with mobile app quality13
DREAMER: a computational framework to evaluate readiness of datasets for machine learning13
Evaluation of medical decision support systems (DDX generators) using real medical cases of varying complexity and origin13
Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients13
CRISP: A causal relationships-guided deep learning framework for advanced ICU mortality prediction13
Compliance with medical recommendations depending on the use of artificial intelligence as a diagnostic method12
ABiMed: An intelligent and visual clinical decision support system for medication reviews and polypharmacy management12
“It’s all about time and timing”: nursing staffs’ experiences with an agile development process, from its initial requirements to the deployment of its outcome of ICT solutions to support discharge pl12
On the role of deep learning model complexity in adversarial robustness for medical images12
Understanding how and under what circumstances decision coaching works for people making healthcare decisions: a realist review12
Evaluation and comparison of errors on nursing notes created by online and offline speech recognition technology and handwritten: an interventional study12
Development of a communication platform for patients with head and neck cancer for effective information delivery and improvement of doctor–patient relationship: application of treatment journey-based12
Electrocardiogram lead conversion from single-lead blindly-segmented signals12
Which risk factor best predicts coronary artery disease using artificial neural network method?12
Named entity recognition of Chinese electronic medical records based on a hybrid neural network and medical MC-BERT12
Development and evaluation of a whole-chain management system for critical value reporting12
Modeling count data for health care utilization: an empirical study of outpatient visits among Vietnamese older people12
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